Triple
T20643367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanover S-Bahn network |
E507285
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Celle station
Celle station is a railway station in the town of Celle, Germany, serving as a regional and commuter rail hub within the Hanover metropolitan area.
|
E1442124
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Celle station | Statement: [Hanover S-Bahn network, hasStation, Celle station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celle station Context triple: [Hanover S-Bahn network, hasStation, Celle station]
-
A.
Matrand Station
Matrand Station is a small railway station serving the village of Matrand in Eidskog Municipality in Innlandet county, Norway.
-
B.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
-
C.
Viarmes station
Viarmes station is a railway stop in the commune of Viarmes in northern France, serving local passenger trains on the regional network.
-
D.
Ouest station
Ouest station is a metro station on the Charleroi Metro network in Charleroi, Belgium.
-
E.
Vavin station
Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Celle station Triple: [Hanover S-Bahn network, hasStation, Celle station]
Generated description
Celle station is a railway station in the town of Celle, Germany, serving as a regional and commuter rail hub within the Hanover metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celle station Target entity description: Celle station is a railway station in the town of Celle, Germany, serving as a regional and commuter rail hub within the Hanover metropolitan area.
-
A.
Matrand Station
Matrand Station is a small railway station serving the village of Matrand in Eidskog Municipality in Innlandet county, Norway.
-
B.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
-
C.
Viarmes station
Viarmes station is a railway stop in the commune of Viarmes in northern France, serving local passenger trains on the regional network.
-
D.
Ouest station
Ouest station is a metro station on the Charleroi Metro network in Charleroi, Belgium.
-
E.
Vavin station
Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c58cb86c81909b48e3cb231de171 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c61afe688190bb6f755386e3df18 |
completed | May 16, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c6d846608190a1412b521b487ae7 |
completed | May 16, 2026, 7:34 p.m. |
Created at: April 16, 2026, 11:43 a.m.